An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling

DOI10.1214/09-AOAS261zbMath1184.62190arXiv1010.1157WikidataQ34196222 ScholiaQ34196222MaRDI QIDQ965136

Mike West, Jen-Tsan Chi, Julia Ling-Yu Chen, Daniel M. Merl

Publication date: 21 April 2010

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1010.1157

zbMATH Keywords

acidosis and neutralization pathways in cancerBayesian latent factor modelsbreast cancer genomicsgene expression signaturesintegrative cancer genomicsmicro-environmental parameters in cancerWeibull survival models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50)

Related Items (3)

Modeling Adverse Birth Outcomes via Confirmatory Factor Quantile Regression ⋮ An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling ⋮ Partial Factor Modeling: Predictor-Dependent Shrinkage for Linear Regression

Cites Work

• An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling
• Of mice and men: sparse statistical modeling in cardiovascular genomics
• A Bayesian Analysis Strategy for Cross-Study Translation of Gene Expression Biomarkers
• Shotgun Stochastic Search for “Largep” Regression
• High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics

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